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Simulation of continuous properties
DeeSse can perform multipoint simulation (using direct sampling strategy) not only on discrete properties, but also on continuous ones. The example shows a 2D continuous training image and the resulting simulation on a demonstration grid, using conditioning data.
Handling non-stationary training images
DeeSse can take into account non-stationarities driven by rotation trends, scaling trends, and auxiliary properties. This example shows the original discrete training image and the auxiliary property used to drive the simulation. The resulting property follows the gradient applied on the demonstration grid while respecting the pattern of the training image.
Simulation of joint properties
With DeeSse, it is now feasible to perform joint simulations of several properties, whether discrete and/or continuous. The example shows a joint simulation with two training image properties (one discrete and one continuous) presenting a spatial correlation. The result consists of two different properties reproducing the level of spatial correlation.
Reproduction of large scale patterns
DeeSse can perform multipoint simulation using very large 2D or 3D training images. The example shows the result of a simulation, using a 3D training image representing channels. The resulting property shows the channels pattern while respecting the vertical continuity.
Applying proportion constraints
DeeSse can take into account some target proportions for given intervals of values, globally or locally in the simulation grid. The example shows the result of a simulation, using locally varying proportions. Each of the three facies codes follows a specific proportions map
DeeSse video tutorial
Learn how to use the basic tools of the DeeSse Multipoint Simulation tool for Petrel